About
JRC-GEM-E3 is a recursive dynamic computable general equilibrium model that covers the interactions between the economy, the energy system and the environment. It is especially designed to evaluate energy, climate and environmental policies. JRC-GEM-E3 can evaluate consistently the distributional and macro-economic effects of policies for the various economic sectors and agents across the countries.
The JRC-GEM-E3 model simultaneously computes the equilibrium in the goods and services markets, as well as in production factors (labour and capital). The economic agents optimize their objective functions (welfare for households and cost for firms) and determine separately the supply or demand of labour, capital, energy, and other goods. Market prices guarantee a global equilibrium endogenously. The competitive market equilibrium under Walras’ law also includes more detailed equilibria in energy demand/supply and emission/abatement. The structural features of the energy/environment system and the policy-oriented instruments (e.g. taxation) have a considerable level of detail. The geographical regions are linked through bilateral trade.
Database and calibration
The model is calibrated to the latest GTAP database, which is EUROSTAT consistent for the EU Member States. The JRC-GEM-E3 model is flexible in its regional and sectoral aggregation. Typically, it represents individually the 27 European Member States as well as the OECD and the Group of Twenty (G20) countries. Sectoral aggregation normally covers 30 to 35 sectors, and includes a detailed representation of power generation technologies. Energy intensive sectors are also represented in detail.
Energy balances by fuel, sector, and region from energy models (e.g., POLES-JRC, PRIMES, POTEnCIA) are mapped into JRC-GEM-E3 in volumes and converted into monetary values using the prices from the energy models. A multi-regional, generalised RAS (MR-GRAS) algorithm reconciles and projects the GTAP input-output tables under constraints to reach the calibration objectives. Then, the time dependent parameters of the JRC-GEM-E3 model are calibrated, reproducing the forward-projected input-output tables as a baseline for policy assessments.
The model setup includes the energy-related and non-energy related emissions of carbon dioxide (CO2), other GHG such as methane (CH4), nitrous oxide (N20) sulfur hexafluoride (SF6), hydrofluorocarbon (HFC), and perfluorocarbon (PFC). There are three mechanisms of emission reduction explicitly specified in the model:
- Substitution between fuels and between energetic and non-energetic inputs;
- Emissions reduction due to a decline in production and consumption; and
- Purchase of abatement equipment, including Carbon Capture and Storage (CCS).
The production of the firms is modelled with a nested Constant Elasticity of Substitution (CES) production function, using capital, labour, energy and intermediate goods. The model allows for different market clearing mechanisms and alternative market structures, in addition to perfect competition. The amount of capital is fixed within each period. The investment decisions of the firms in the current period affect the stock of capital in the next period in a recursive dynamic way. This investment by sectors of production is translated into deliveries by industries producing the capital stock through an investment matrix. The labour market includes involuntary unemployment. Labour is immobile across national borders.
Demand and households consumption
The demand of goods by the consumers, firms (for intermediate consumption and investment) and the public sector constitutes the total domestic demand. Total demand is allocated between domestic and imported products, following the Armington specification. According to this specification, products are imperfect substitutes given their origin. Each region buys and imports at the prices set by the supplying regions.
The consumers decide endogenously on their demand of goods and services using a nested extended Stone Geary utility function. In a first stage, a representative consumer for each region allocates their total expected income between total consumption of goods and services (both durables and non-durables), leisure and savings. In a second stage, the utility function distinguishes between durable (equipment) and consumable goods and services. Households obtain utility from consuming a non-durable good or service and from using a durable good above a subsistence level. The consumption of a durable good is directly linked to the consumption of non-durable good, e.g. fuel for the use of transport equipment. Consumption matrices by region decompose the demand per consumer categories into deliveries by sector of production. Results from the JRC-GEM-E3 model combined with household budget surveys data in microsimulation models provides further information about distributional impacts of energy and climate policies.
Main applications
The JRC-GEM-E3 contributed to the EU's 2030 Climate and Energy Framework and the EU's preparation of the international climate negotiations at COP21 in Paris in December 2015.
The model is able to compare the economic effects of various cost-efficient climate policy instruments, such as taxes, auctioning, various forms of pollution permits and command-and-control policy in the context of climate and energy policies. It is also possible to consider various ways of revenue recycling.
JRC-GEM-E3 distinguishes between 9 categories of receipts, including indirect taxes, energy taxes, direct taxes, value added taxes, production subsidies, social security contributions, import duties, foreign transfers and government firms. Recently, the JRC-GEM-E3 model has also been used in order to analyze the Marginal Cost of Public Funds (MCPF) and its cross-border effects of tax increases in the European Union.
In 2013, the JRC-GEM-E3 model also was used to analyse the macro-economic impacts of the European Clean Air Package, as well as its (positive) feedback impacts.
Further, the JRC-GEM-E3 model has been used for energy issues like the trade and price evolution of oil and other energy sources, energy efficiency and deployment of renewables.